Triple
T27761037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon Line |
E701467
|
entity |
| Predicate | oceanicSegmentName |
P163950
|
FINISHED |
| Object | Gulf of Guinea volcanic chain |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gulf of Guinea volcanic chain | Statement: [Cameroon Line, oceanicSegmentName, Gulf of Guinea volcanic chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanicSegmentName Context triple: [Cameroon Line, oceanicSegmentName, Gulf of Guinea volcanic chain]
-
A.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
B.
hasSeaAreaName
Indicates that a sea area is associated with and identified by a specific name.
-
C.
seaName
Indicates that an entity is identified by or associated with a particular sea’s name.
-
D.
oceanNamedAfter
Indicates that an ocean bears the name of a particular person, place, or entity in whose honor or reference it is named.
-
E.
oceanBasin
Indicates a relationship where a geographic or marine feature is located within, or is part of, a specific ocean basin.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 4:27 p.m.